import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
				from transformers.pipelines.conversational import Conversation


A						=			logging.get_logger(__name__)

A						=			{'vocab_file': 'vocab.txt', 'emoji_file': 'emoji.json'}

A						=			{
    'vocab_file': {
        'abeja/gpt-neox-japanese-2.7b': 'https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt',
    },
    'emoji_file': {
        'abeja/gpt-neox-japanese-2.7b': 'https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json',
    },
}

A						=			{
    'abeja/gpt-neox-japanese-2.7b': 2_0_4_8,
}


def 	lowerCamelCase					(	UpperCamelCase     :				Any			,       UpperCamelCase     :				List[Any]							)   ->    int:
		with open(UpperCamelCase			,       'r'			,       encoding='utf-8'							) as f:
				_lowerCamelCase				   =  json.loads(f.read()							)

		_lowerCamelCase				   =  collections.OrderedDict()
		_lowerCamelCase				   =  collections.OrderedDict()
		_lowerCamelCase				   =  collections.OrderedDict()
		with open(UpperCamelCase			,       'r'			,       encoding='utf-8'							) as f:
				_lowerCamelCase				   =  f.readlines()
		_lowerCamelCase				   =  [[t.rstrip('\n'							)] if (t == ',' or ',' not in t) else t.rstrip('\n'							).split(','							) for t in token]
		for idx, b in enumerate(UpperCamelCase							):
				_lowerCamelCase				   =  b
				_lowerCamelCase				   =  idx
				for wd in b:
						_lowerCamelCase				   =  idx

		return vocab, raw_vocab, ids_to_tokens, emoji





class     lowerCAmelCase__     (				SCREAMING_SNAKE_CASE_			):


		'''simple docstring'''






		lowerCAmelCase_     =   VOCAB_FILES_NAMES
		lowerCAmelCase_     =   PRETRAINED_VOCAB_FILES_MAP
		lowerCAmelCase_     =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCAmelCase_     =   ['input_ids', 'attention_mask']
		def __init__(       self     :     Tuple     ,  snake_case__     :     Tuple     ,  snake_case__     :     str     ,  snake_case__     :     Dict="<|endoftext|>"     ,  snake_case__     :     List[Any]="<|endoftext|>"     ,  snake_case__     :     int="<|startoftext|>"     ,  snake_case__     :     List[str]="<|endoftext|>"     ,  snake_case__     :     Any=False     ,  **snake_case__     :     Optional[Any]     ,  )      ->	List[str]:
				super().__init__(
				    unk_token=snake_case__     ,  pad_token=snake_case__     ,  bos_token=snake_case__     ,  eos_token=snake_case__     ,  do_clean_text=snake_case__     ,  **snake_case__     ,  )
				if not os.path.isfile(snake_case__		):
						raise ValueError(
						    f"""Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained"""
						    ' model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'		)
				if not os.path.isfile(snake_case__		):
						raise ValueError(
						    f"""Can't find a emoji file at path '{emoji_file}'. To load the emoji information from a Google"""
						    ' pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'		)
				_lowerCamelCase				   =  do_clean_text
				_lowerCamelCase   ,							_lowerCamelCase   ,							_lowerCamelCase   ,							_lowerCamelCase				   =  load_vocab_and_emoji(snake_case__     ,  snake_case__		)
				_lowerCamelCase				   =  SubWordJapaneseTokenizer(
				    vocab=self.vocab     ,  ids_to_tokens=self.ids_to_tokens     ,  emoji=self.emoji		)
		@property
		def   _snake_case       (       self     :     Union[str, Any]		)      ->	Any:
				# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
				return len(self.raw_vocab		)
		def   _snake_case       (       self     :     Optional[Any]		)      ->	int:
				return dict(self.raw_vocab     ,  **self.added_tokens_encoder		)
		def   _snake_case       (       self     :     Optional[Any]     ,  snake_case__     :     Optional[int]		)      ->	str:
				return self.subword_tokenizer.tokenize(snake_case__     ,  clean=self.do_clean_text		)
		def   _snake_case       (       self     :     Any     ,  snake_case__     :     List[Any]		)      ->	List[Any]:
				return self.vocab.get(snake_case__     ,  self.vocab.get(self.unk_token		)		)
		def   _snake_case       (       self     :     Any     ,  snake_case__     :     Union[str, Any]		)      ->	Union[str, Any]:
				return self.subword_tokenizer.convert_id_to_token(snake_case__		)
		def   _snake_case       (       self     :     str     ,  snake_case__     :     Tuple		)      ->	Dict:
				_lowerCamelCase				   =  ''.join(snake_case__		).strip()
				return out_string
		def   _snake_case       (       self     :     List[Any]     ,  snake_case__     :     "Conversation"		)      ->	List[int]:
				_lowerCamelCase				   =  []
				for is_user, text in conversation.iter_texts():
						input_ids.extend(self.encode(snake_case__     ,  add_special_tokens=snake_case__		) + [self.eos_token_id]		)

				if len(snake_case__		) > self.model_max_length:
						_lowerCamelCase				   =  input_ids[-self.model_max_length :]
				return input_ids



		def   _snake_case       (       self     :     str     ,  snake_case__     :     str     ,  snake_case__     :     Optional[str] = None		)      ->	Tuple[str]:
				_lowerCamelCase				   =  0
				if os.path.isdir(snake_case__		):
						_lowerCamelCase				   =  os.path.join(
						    snake_case__     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
						_lowerCamelCase				   =  os.path.join(
						    snake_case__     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']		)
				else:
						_lowerCamelCase				   =  (
						    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
						)
						_lowerCamelCase				   =  (
						    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
						)
				with open(snake_case__     ,  'w'     ,  encoding='utf-8'		) as writer:
						for token_index, token in self.ids_to_tokens.items():
								if index != token_index:
										logger.warning(
										    f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
										    ' Please check that the vocabulary is not corrupted!'		)
										_lowerCamelCase				   =  token_index
								writer.write(','.join(snake_case__		) + '\n'		)
								index += 1
				with open(snake_case__     ,  'w'     ,  encoding='utf-8'		) as writer:
						json.dump(self.emoji     ,  snake_case__		)
				return vocab_file, emoji_file





class     lowerCAmelCase__     (				SCREAMING_SNAKE_CASE_			):


		'''simple docstring'''






		def __init__(       self     :     List[Any]     ,  snake_case__     :     Dict     ,  snake_case__     :     Optional[int]     ,  snake_case__     :     Tuple		)      ->	Any:
				_lowerCamelCase				   =  vocab  # same as swe
				_lowerCamelCase				   =  ids_to_tokens  # same as bpe
				_lowerCamelCase				   =  emoji
				_lowerCamelCase				   =  np.max([len(snake_case__		) for w in self.vocab.keys()]		)
				_lowerCamelCase				   =  re.compile(r'(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'		)
				_lowerCamelCase				   =  re.compile(r'[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'		)
				_lowerCamelCase				   =  re.compile(r'[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'		)
				_lowerCamelCase				   =  re.compile(
				    r'([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'		)
				_lowerCamelCase				   =  re.compile(
				    r'(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'		)
				_lowerCamelCase				   =  re.compile(
				    r'((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*'		)
				_lowerCamelCase				   =  '─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿'
				_lowerCamelCase				   =  '▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟'
				_lowerCamelCase				   =  str.maketrans({k: '<BLOCK>' for k in keisen + blocks}		)
		def __len__(       self     :     Optional[int]		)      ->	Optional[Any]:
				return len(self.ids_to_tokens		)
		def   _snake_case       (       self     :     Optional[int]     ,  snake_case__     :     Tuple		)      ->	str:
				_lowerCamelCase				   =  self.content_repattera.sub('<URL>'     ,  snake_case__		)
				_lowerCamelCase				   =  self.content_repattera.sub('<EMAIL>'     ,  snake_case__		)
				_lowerCamelCase				   =  self.content_repattera.sub('<TEL>'     ,  snake_case__		)
				_lowerCamelCase				   =  self.content_repattera.sub('<DATE>'     ,  snake_case__		)
				_lowerCamelCase				   =  self.content_repattera.sub('<DATE>'     ,  snake_case__		)
				_lowerCamelCase				   =  self.content_repattera.sub('<PRICE>'     ,  snake_case__		)
				_lowerCamelCase				   =  content.translate(self.content_transa		)
				while "<BLOCK><BLOCK>" in content:
						_lowerCamelCase				   =  content.replace('<BLOCK><BLOCK>'     ,  '<BLOCK>'		)
				return content
		def   _snake_case       (       self     :     str     ,  snake_case__     :     str     ,  snake_case__     :     Any=False		)      ->	List[Any]:
				_lowerCamelCase				   =  text.replace(' '     ,  '<SP>'		)
				_lowerCamelCase				   =  text.replace('　'     ,  '<SP>'		)
				_lowerCamelCase				   =  text.replace('\r\n'     ,  '<BR>'		)
				_lowerCamelCase				   =  text.replace('\n'     ,  '<BR>'		)
				_lowerCamelCase				   =  text.replace('\r'     ,  '<BR>'		)
				_lowerCamelCase				   =  text.replace('\t'     ,  '<TAB>'		)
				_lowerCamelCase				   =  text.replace('—'     ,  'ー'		)
				_lowerCamelCase				   =  text.replace('−'     ,  'ー'		)
				for k, v in self.emoji["emoji"].items():
						if k in text:
								_lowerCamelCase				   =  text.replace(snake_case__     ,  snake_case__		)
				if clean:
						_lowerCamelCase				   =  self.clean_text(snake_case__		)

				def check_simbol(snake_case__     :     str		):
						_lowerCamelCase				   =  x.encode()
						if len(snake_case__		) == 1 and len(snake_case__		) == 2:
								_lowerCamelCase				   =  (int(e[0]		) << 8) + int(e[1]		)
								if (
								    (c >= 0XC2A1 and c <= 0XC2BF)
								    or (c >= 0XC780 and c <= 0XC783)
								    or (c >= 0XCAB9 and c <= 0XCBBF)
								    or (c >= 0XCC80 and c <= 0XCDA2)
								):
										return True
						return False

				def checkuae(snake_case__     :     Any		):
						_lowerCamelCase				   =  x.encode()
						if len(snake_case__		) == 1 and len(snake_case__		) == 3:
								_lowerCamelCase				   =  (int(e[0]		) << 1_6) + (int(e[1]		) << 8) + int(e[2]		)
								if c >= 0XE28080 and c <= 0XE2B07F:
										return True
						return False

				_lowerCamelCase				   =  0
				_lowerCamelCase				   =  []
				while pos < len(snake_case__		):
						_lowerCamelCase				   =  min(len(snake_case__		)     ,  pos + self.maxlen + 1		) if text[pos] == '<' else pos + 3
						_lowerCamelCase				   =  []  # (token_id, token, pos)
						for e in range(snake_case__     ,  snake_case__     ,  -1		):
								_lowerCamelCase				   =  text[pos:e]
								if wd in self.vocab:
										if wd[0] == "<" and len(snake_case__		) > 2:
												_lowerCamelCase				   =  [(self.vocab[wd], wd, e)]
												break
										else:
												candidates.append((self.vocab[wd], wd, e)		)
						if len(snake_case__		) > 0:
								# the smallest token_id is adopted
								_lowerCamelCase   ,							_lowerCamelCase   ,							_lowerCamelCase				   =  sorted(snake_case__     ,  key=lambda snake_case__		: x[0]		)[0]
								result.append(snake_case__		)
								_lowerCamelCase				   =  e
						else:
								_lowerCamelCase				   =  pos + 1
								_lowerCamelCase				   =  text[pos:end]
								if check_simbol(snake_case__		):
										result.append('<KIGOU>'		)
								elif checkuae(snake_case__		):
										result.append('<U2000U2BFF>'		)
								else:
										for i in wd.encode('utf-8'		):
												result.append('<|byte%d|>' % i		)
								_lowerCamelCase				   =  end
				return result



		def   _snake_case       (       self     :     Dict     ,  snake_case__     :     str     ,  snake_case__     :     Dict="\n"		)      ->	int:
				_lowerCamelCase				   =  []
				_lowerCamelCase				   =  []
				_lowerCamelCase				   =  self.ids_to_tokens[index][0]
				if word[:6] == "<|byte" and word[-2:] == "|>":
						byte_tokens.append(int(word[6:-2]		)		)
				else:
						if len(snake_case__		) > 0:
								words.append(bytearray(snake_case__		).decode('utf-8'     ,  errors='replace'		)		)
								_lowerCamelCase				   =  []
						if word[:7] == "<|emoji" and word[-2:] == "|>":
								words.append(self.emoji['emoji_inv'][word]		)
						elif word == "<SP>":
								words.append(' '		)
						elif word == "<BR>":
								words.append(snake_case__		)
						elif word == "<TAB>":
								words.append('\t'		)
						elif word == "<BLOCK>":
								words.append('▀'		)
						elif word == "<KIGOU>":
								words.append('ǀ'		)
						elif word == "<U2000U2BFF>":
								words.append('‖'		)
						else:
								words.append(snake_case__		)
				if len(snake_case__		) > 0:
						words.append(bytearray(snake_case__		).decode('utf-8'     ,  errors='replace'		)		)
				_lowerCamelCase				   =  ''.join(snake_case__		)
				return text
def 	lowerCamelCase					(	UpperCamelCase     :				int							)   ->    bool:
		_lowerCamelCase				   =  (1 + 24 * n) ** 0.5
		return ((1 + root) / 6) % 1 == 0


def 	lowerCamelCase					(	UpperCamelCase     :				int = 50_00							)   ->    int:
		_lowerCamelCase				   =  [(i * (3 * i - 1)) // 2 for i in range(1			,       UpperCamelCase							)]
		for i, pentagonal_i in enumerate(UpperCamelCase							):
				for j in range(UpperCamelCase			,       len(UpperCamelCase							)							):
						_lowerCamelCase				   =  pentagonal_nums[j]
						_lowerCamelCase				   =  pentagonal_i + pentagonal_j
						_lowerCamelCase				   =  pentagonal_j - pentagonal_i
						if is_pentagonal(UpperCamelCase							) and is_pentagonal(UpperCamelCase							):
								return b

		return -1


if __name__ == "__main__":
				print(F'''{solution() = }''')